Can AMD Radeon PRO W7800 run Qwen 2.5 72B?
72B parameter LLM model on 32GB GDDR6 ECC
Barely — requires CPU/RAM offloading
~1-3 tok/s (offload)
SpeedVery slow — expect 1-3 tokens/sec
QualityQuality is fine but the speed makes it impractical for interactive use
AMD GPUs lack CUDA. While Qwen 2.5 72B can technically run via llama.cpp/GGUF, the setup is more complex and less optimized than on NVIDIA hardware.
VRAM Requirements
Qwen 2.5 72B is a 72B parameter model. At full precision (FP16), it requires 144GB of VRAM. Your AMD Radeon PRO W7800 only has 32GB — not enough even at maximum compression.
FP16 (Full Precision)144GB (need 112GB more)
Maximum quality, no quantization
Q8 (8-bit)72GB (need 40GB more)
Near-lossless, ~50% size reduction
Q4 (4-bit)42GB (need 10GB more)
Good quality, ~75% size reduction
Your GPU VRAM: 32GB GDDR6 ECC at 576 GB/s bandwidth
Recommended system RAM: 64GB DDR5 (2x GPU VRAM minimum for model overflow)
Recommended system RAM: 64GB DDR5 (2x GPU VRAM minimum for model overflow)
How to Set It Up
Step 1: Install Ollama
curl -fsSL https://ollama.com/install.sh | shOllama is the easiest way to run local LLMs. Works on Linux, macOS, and Windows.
Step 2: Download and run Qwen 2.5 72B
ollama run qwen2.5:72b:q4_K_MThis downloads the model (~72GB). First run takes a few minutes.
Step 3: Verify GPU is being used
rocm-smiCheck that VRAM usage increases when the model loads. You should see ~42GB used.
AMD Radeon PRO W7800 Specs
VRAM32GB GDDR6 ECC
Memory Bandwidth576 GB/s
TDP260W
CUDA CoresN/A
Street Price~$2300
AI Rating5/10
Other GPUs That Run Qwen 2.5 72B
Other LLM Models on AMD Radeon PRO W7800
About Qwen 2.5 72B
Top open LLM for reasoning. Similar requirements to Llama 70B.
Category: LLM · Parameters: 72B · CUDA required: No (runs via llama.cpp/GGUF)